Skip to main content

Table 2 Association between GRS and incidence of dyslipidaemia

From: Genetic factors increase the identification efficiency of predictive models for dyslipidaemia: a prospective cohort study

 

Subjects

Crude HRs (95%CI)

Adjusted HRs (95%CI)

Total population

 Q1

900

1.00 (reference)

1.00 (reference)

 Q2

898

1.110 (0.958, 1.287)

1.043 (0.900, 1.210)

 Q3

900

1.244 (1.077, 1.437)

1.188 (1.028, 1.374)

 Q4

898

1.276 (1.111, 1.466)

1.229 (1.069, 1.412)

Continuous GRS

3596

1.366 (1.187, 1.572)

1.353 (1.172, 1.561)

P for trend

 

< 0.001

0.001

Training set

 Q1

633

1.00 (reference)

1.00 (reference)

 Q2

638

0.996 (0.834, 1.188)

1.023 (0.855, 1.223)

 Q3

624

1.182 (0.995, 1.404)

1.166 (0.979, 1.388)

 Q4

622

1.207 (1.023, 1.424)

1.213 (1.028, 1.433)

Continuous GRS

2517

1.337 (1.129, 1.584)

1.318 (1.110, 1.565)

P for trend

 

0.006

0.008

Testing set

 Q1

267

1.00 (reference)

1.00 (reference)

 Q2

260

1.456 (1.112, 1.907)

1.081 (0.820, 1.425)

 Q3

276

1.405 (1.080, 1.827)

1.225 (0.940, 1.596)

 Q4

276

1.454 (1.129, 1.874)

1.273 (0.986, 1.643)

Continuous GRS

1079

1.432 (1.113, 1.843)

1.466 (1.127, 1.907)

P for trend

 

0.009

0.040

  1. Note: GRS is divided into four groups. Q1, Q2, Q3, Q4 represent the first, second, third, fourth quartile of GRS, respectively. Adjusted HRs adjust for the following covariates: age, family history of diabetes, physical activity, BMI, TG, HDL-C, LDL-C
  2. Abbrevations: HR hazard ratio, GRS genetic risk score